In dynamic autonomous driving environment, Artificial Intelligence-Generated Content (AIGC) technology can supplement vehicle perception and decision making by leveraging models' generative and predictive capabilities, and has the potential to enhance motion planning, trajectory prediction and traffic simulation. This article proposes a cloud-edge-terminal collaborative architecture to support AIGC for autonomous driving. By delving into the unique properties of AIGC services, this article initiates the attempts to construct mutually supportive AIGC and network systems for autonomous driving, including communication, storage and computation resource allocation schemes to support AIGC services, and leveraging AIGC to assist system design and resource management.

翻译：在动态的自动驾驶环境中，人工智能生成内容（AIGC）技术可利用模型的生成与预测能力，补充车辆的感知与决策，并具备增强运动规划、轨迹预测与交通仿真的潜力。本文提出一种云-边-端协同架构以支持面向自动驾驶的AIGC。通过深入剖析AIGC服务的独特属性，本文首次尝试构建面向自动驾驶的、相互支撑的AIGC与网络系统，包括支持AIGC服务的通信、存储与计算资源分配方案，以及利用AIGC辅助系统设计与资源管理。